Paper Citation Record · LEDGER

Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

As of 22 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 6 inbound Pith citation observations for arXiv:2501.18576.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.18576 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:59:49.727101Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:15:40.435127Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

2 of 2 outbound references displayed

verified exact1
verified fuzzy1
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 9aed88fa-cfca-4bfe-a12f-3f4cdebc1c52 · outbound

This paper cites Token-by-Token Regeneration and Domain Biases: A Benchmark of LLMs on Ad-vanced Mathematical Problem-Solving.

Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH Token-by-Token Regeneration and Domain Biases: A Benchmark of LLMs on Ad-vanced Mathematical Problem-Solving

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:59:49.982867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 67ba25ec-0af4-4169-b048-cf582d80d03f · outbound

This paper cites reasoning tokens.

Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH reasoning tokens

Reference 4

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T22:59:49.968300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 0cd40476-1b16-4693-a472-1ae87dd3682b · inbound

The Paradox of Stochasticity: Limited Creativity and Computational Decoupling in Temperature-Varied LLM Outputs of Structured Fictional Data cites this paper.

The Paradox of Stochasticity: Limited Creativity and Computational Decoupling in Temperature-Varied LLM Outputs of Structured Fictional Data Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T04:52:23.229768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bef98e0e-ed30-4e32-bfce-91eb4abe7c8e · inbound

A Showdown of ChatGPT vs DeepSeek in Solving Programming Tasks cites this paper.

A Showdown of ChatGPT vs DeepSeek in Solving Programming Tasks Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:27:17.609767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c8a25a31-156c-4489-9809-05d30c0b66c8 · inbound

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 cites this paper.

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:40.435127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a960d3d-0888-47d2-9402-71fe77d091f5 · inbound

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models cites this paper.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:11.889893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c2ad01c-1d6e-4ccf-abb3-9329f1992d0e · inbound

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy cites this paper.

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:38.200430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1da43d22-9249-4b34-972c-c6995c4e0c99 · inbound

SE-GA: Memory-Augmented Self-Evolution for GUI Agents cites this paper.

SE-GA: Memory-Augmented Self-Evolution for GUI Agents Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:42:46.449499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.